Computational Forecasting Methodology for Acute Respiratory Infectious Disease Dynamics

The study of infectious disease behavior has been a scientific concern for many years as early identification of outbreaks provides great advantages including timely implementation of public health measures to limit the spread of an epidemic. We propose a methodology that merges the predictions of (...

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Veröffentlicht in:	International journal of environmental research and public health 2020-06, Vol.17 (12), p.4540
Hauptverfasser:	Gónzalez-Bandala, Daniel Alejandro, Cuevas-Tello, Juan Carlos, Noyola, Daniel E., Comas-García, Andreu, García-Sepúlveda, Christian A
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer applications Data science Epidemics Epidemiology Forecasting Infectious diseases Learning algorithms Methodology Outbreaks Projection model Public health Search engines Viruses
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